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Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice
Infectious disease dynamic modeling can support outbreak emergency responses. We conducted a workshop to canvas the needs of stakeholders in Australia for practical, real-time modeling tools for infectious disease emergencies. The workshop was attended by 29 participants who represented government,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403034/ https://www.ncbi.nlm.nih.gov/pubmed/28418309 http://dx.doi.org/10.3201/eid2305.161720 |
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author | Muscatello, David J. Chughtai, Abrar A. Heywood, Anita Gardner, Lauren M. Heslop, David J. MacIntyre, C. Raina |
author_facet | Muscatello, David J. Chughtai, Abrar A. Heywood, Anita Gardner, Lauren M. Heslop, David J. MacIntyre, C. Raina |
author_sort | Muscatello, David J. |
collection | PubMed |
description | Infectious disease dynamic modeling can support outbreak emergency responses. We conducted a workshop to canvas the needs of stakeholders in Australia for practical, real-time modeling tools for infectious disease emergencies. The workshop was attended by 29 participants who represented government, defense, general practice, and academia stakeholders. We found that modeling is underused in Australia and its potential is poorly understood by practitioners involved in epidemic responses. The development of better modeling tools is desired. Ideal modeling tools for operational use would be easy to use, clearly indicate underlying parameterization and assumptions, and assist with policy and decision making. |
format | Online Article Text |
id | pubmed-5403034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-54030342017-05-12 Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice Muscatello, David J. Chughtai, Abrar A. Heywood, Anita Gardner, Lauren M. Heslop, David J. MacIntyre, C. Raina Emerg Infect Dis Online Report Infectious disease dynamic modeling can support outbreak emergency responses. We conducted a workshop to canvas the needs of stakeholders in Australia for practical, real-time modeling tools for infectious disease emergencies. The workshop was attended by 29 participants who represented government, defense, general practice, and academia stakeholders. We found that modeling is underused in Australia and its potential is poorly understood by practitioners involved in epidemic responses. The development of better modeling tools is desired. Ideal modeling tools for operational use would be easy to use, clearly indicate underlying parameterization and assumptions, and assist with policy and decision making. Centers for Disease Control and Prevention 2017-05 /pmc/articles/PMC5403034/ /pubmed/28418309 http://dx.doi.org/10.3201/eid2305.161720 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Online Report Muscatello, David J. Chughtai, Abrar A. Heywood, Anita Gardner, Lauren M. Heslop, David J. MacIntyre, C. Raina Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice |
title | Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice |
title_full | Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice |
title_fullStr | Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice |
title_full_unstemmed | Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice |
title_short | Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice |
title_sort | translation of real-time infectious disease modeling into routine public health practice |
topic | Online Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403034/ https://www.ncbi.nlm.nih.gov/pubmed/28418309 http://dx.doi.org/10.3201/eid2305.161720 |
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